LLMs in qualitative psychology
Emerging applications of large language models in qualitative psychological research methodology as well as the critics.
Yue, Yongjie et al. (2025)
Tutorial evaluates ChatGPT 4-Turbo for grounded theory, finding faster, more diverse coding but weaker contextual depth than humans.
This tutorial provides a practical early assessment of using ChatGPT 4-Turbo for grounded-theory analysis, based on semistructured interviews with blind gamers. It finds that the model can reliably support many coding tasks while increasing coding efficiency and diversity, potentially updating how grounded-theory workflows are conducted. However, its coding was weaker than manual analysis in contextual depth, connections between ideas, and organization, so it should support rather than replace qualitative researchers.
A step-by-step case study compares ChatGPT 4-Turbo coding with software-assisted manual coding in grounded-theory analysis of interviews with blind gamers.
Basic qualitative research methods, especially grounded theory and interview coding, plus familiarity with generative AI.
Grounded theory application tutorial, though the methods could be better.
— ES